age&gender Computer Vision Project

changhee

Updated 3 years ago

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Classes (8)
F_G1
F_G2
F_G3
F_G4
M_G1
M_G2
M_G3
M_G4
Description

Here are a few use cases for this project:

  1. Demographic Analysis in Retail: The "age&gender" computer vision model could be used in stores or shopping malls to analyze customer demographics. It will help in identifying the age and gender groups of shoppers, enabling store managers to customize marketing strategies, store layouts, or product placement according to different groups' preferences.

  2. Audience Measurement in Media and Advertising: TV channels, billboard owners, or digital marketers could use this model to determine who their primary audience is, by identifying the age group and gender of viewers or passers-by. This data will allow them to tailor their content and advertising to attract and retain their target audience effectively.

  3. Social Research and Urban Planning: Researchers could deploy this model in public areas to gather demographic data which could inform a range of policies from social services provision to creating more inclusive urban spaces. It can also be used to gain insights into population movements and density in cities.

  4. Interactive Installations: In museums, expos, and other public installations, the age&gender model could be used to tailor the information or experience to the visitor automatically, based on their detected age group and gender, resulting in a more personalized encounter.

  5. Healthcare and Well-being: For applications where users are comfortable sharing this data, gym clubs or wellness centers could use this model to provide personalized training routines or wellness plans according to the detected age and gender groups. This could help to improve the effectiveness of the user's workouts or wellness regimes.

Supervision

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Cite This Project

LICENSE
CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            age-gender_dataset,
                            title = { age&gender Dataset },
                            type = { Open Source Dataset },
                            author = { changhee },
                            howpublished = { \url{ https://universe.roboflow.com/changhee/age-gender } },
                            url = { https://universe.roboflow.com/changhee/age-gender },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2021 },
                            month = { dec },
                            note = { visited on 2024-12-23 },
                            }
                        
                    

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